The Big Data Science Certified Professional (BDSCP) program from the Arcitura™ Big Data Science School is dedicated to excellence in the fields of Big Data science, analysis, analytics, business intelligence, technology architecture, design and development, as well as governance.

A collection of courses establishes a set of vendor-neutral industry certifications with different areas of specialization. Founded by best-selling author, Thomas Erl, this curriculum enables IT professionals to develop real-world Big Data science proficiency. Because of the vendor-neutral focus of the course materials, the skills acquired by attaining certifications are applicable to any vendor or open-source platform.

A Certified Big Data Professional has completed one or more specialized certifications or has met minimum BDSCP certification qualifications by demonstrating proficiency in Big Data fundamentals and one additional area.

A Certified Big Data Science Professional has demonstrated proficiency in the analysis practices and technology concepts and mechanisms that comprise and are featured in contemporary Big Data environments and tools.

It provides the high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. It is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.

Module 2: Big Data Analysis & Technology Concepts (duration: 6 hours)

This module explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.

Module 3: Big Data Analysis & Technology Lab (6 hours)

This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data analysis and technology and practices as they are applied and combined to solve real-world problems.

As a hands-on lab, this course provides a set of detailed exercises that require participants to solve a number of inter-related problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems.

For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. For individual completion of this course as part of the Module 3 Self-Study Kit, a number of supplements are provided to help participants carry out exercises with guidance and numerous resource references.